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8 Marketing Metrics to Focus on in 2020

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8 marketing metrics to focus on in 2020

Tracking your key marketing metrics is essential to running an accountable, effective marketing program. If you’re not measuring your performance, how can you know you’re on the right track? But then, extending from this, you also need to know what the right metrics are, in alignment with your broader business goals.

Are you keeping tabs on the right stats? What are the right data points to measure for your business?

These days, there’s a heap of performance measures you can keep tabs on, but in this post, I want to outline some of the most important metrics you should be tracking – and how they’ll help you improve your overall performance.

1. Leads

Generating leads is one of the hardest and most important marketing tasks. Most of what marketing does is aimed at finding or producing leads – people that are potentially interested in your product and can be converted into paying customers.

Tracking leads is the first thing you should be doing. It’s vital to both track the total number of leads generated per month and leads generated by each marketing channel (social media marketing, social advertising, search advertising, content marketing, email marketing, etc).

While there’s nothing essentially wrong with tracking leads using Excel, it can be more helpful to automate the process using a dedicated Customer Relationship Management tool, such as HubSpot or Salesforce. These dedicated tools have specific features to help you keep tabs on performance, and find new opportunities.

2. Qualified leads

Measuring your ‘qualified leads’ is your next key step.

Qualified leads are leads that you’ve seen some level of engagement from – they’re no longer ‘potentially’ interested in your product, they’ve actually replied to your outreach, or engaged in any other way, and can now be transferred to your sales team.

You can calculate the rate of your qualified leads to leads by using this formula:

(Qualified leads / Total leads) x 100 = Qualified lead rate

That will help you get a better understanding of the effectiveness (or not) of your marketing initiatives.

3. Return on marketing investment (ROMI)

As is clear from its name, ROMI doesn’t differ a lot from the more well-known ‘return on investment’ (ROI) metric. But it focuses more specifically on marketing investment – the ROMI metric measures how much revenue a marketing campaign is generating compared to the cost of running that campaign.

ROMI is calculated using this formula:

ROMI = (income from marketing – cost of goods – marketing expenditures) / marketing expenditures) * 100.

If ROMI is less than 100%, that means your marketing investments cost the business, but if it’s more than 100%, the push was profitable.

Unfortunately, it’s not always possible to calculate ROMI, and the result doesn’t always represent the reality. This is why ROMI is just one metric to consider, and you should never over-emphasize any single metric on its own.

4. Referrals

Businesses often neglect tracking referrals, but it’s an important consideration, especially in digital marketing.

There are a number of ways that you can track referrals. For brick and mortar stores, manual referral processes, using referral cards and coupons, for example, might be the easiest options. However, the most popular referral programs are usually run and tracked online.

The most common version of an online referral program starts with a customer signing up to the program, then inviting their friends or followers via a unique referral link or code. Uber and AirBnB are known for having used referral systems as their main approach for attracting customers – through their processes, every signed up friend received a discount for the service, which helped to increase the customer base.

To track such referrals, all you need is an Excel spreadsheet, or you can use Google Analytics, provided you have a unique code for each new visitor.

You can also calculate the rate of referrals using the formula:

Total number of customers / Number of referrals = Referral rate

You need to operate within the rules of each platform, and use programs that are of value to your audience, but referrals can be a great way to help boost brand awareness. Which leads to the next point.

5. Brand awareness

Brand awareness is, essentially, the extent to which consumers are familiar with a particular brand. It might be one of the most vague metrics on this list, as it’s hard to assess how many people have heard about the brand. But it can also be valuable, particularly when matched against competitor brands.

To assess brand awareness, marketers can first track the number of mentions their brand generates online, including in social media posts, blogs, etc. This can be tracked through various social media monitoring tools, including Mention, Hootsuite, BuzzSumoAwario, etc.

You can then also match those same metrics against those of your competitors to get some idea of comparative share of voice.

While these metrics don’t show how many people know the brand, they do show how many people are talking about it, which can be a good way to measure the ongoing impact of your brand awareness efforts.

6.  Testimonials and reviews

Testimonials and reviews are also known as ‘word-of-mouth marketing’. Every business should encourage reviews and testimonials – they can make or break your sales when a potential customer searches for your brand online. And, of course, these are also worth measuring.

Using tools like Reputology or ReviewTrackers, you can find your brand’s reviews, collect them in one place, and measure their growth every month. You should also analyze them by sentiment in order to measure positive and negative reviews separately.

7. Cost of customer acquisition (CAC)

Cost of customer acquisition looks at how much it costs, on average, to convert a lead into a customer. It’s another metric, in addition to ROMI, that can help you avoid wasting money on marketing campaigns which simply don’t deliver.

CAC is calculated with the formula:

Amount spent on lead generation / Number of new customers as a result of lead generation = Cost of customer acquisition

Just like with ROMI, you shouldn’t rely on it alone and overestimate the metric, as there are a number of caveats. For example, a company may have invested in early-stage SEO, and as such, can’t expect to see measurable results for some time.

8. Customer lifetime value (CLV)

Customer lifetime value shows how much revenue each customer brings to your business, not just with every purchase, but throughout your whole relationship. CLV shows how many customers you need to break even, and to make profit.

Increasing customer lifetime value is important, as it’s usually cheaper to keep an existing customer than it is to convert a new one.

The simplest formula to measure CLV is the following:

Customer revenue per year x Duration of the relationship in years – Total costs of acquiring and serving the customer = SLV

This is a fairly basic measure, but it can provide valuable insight to help keep your effortss on the right track.

Is that all?

These are the metrics that I consider important in 2020, however there are many more you can focus on.

Marketing is multifaceted, and everything from SEO to email open rates requires attention. Just make sure you spend at least the same amount of time marketing as you do measuring, because the latter will help you formulate more effective, adaptive strategies over time.

Socialmediatoday.com

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YouTube Ad Specs, Sizes, and Examples [2024 Update]

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YouTube Ad Specs, Sizes, and Examples

Introduction

With billions of users each month, YouTube is the world’s second largest search engine and top website for video content. This makes it a great place for advertising. To succeed, advertisers need to follow the correct YouTube ad specifications. These rules help your ad reach more viewers, increasing the chance of gaining new customers and boosting brand awareness.

Types of YouTube Ads

Video Ads

  • Description: These play before, during, or after a YouTube video on computers or mobile devices.
  • Types:
    • In-stream ads: Can be skippable or non-skippable.
    • Bumper ads: Non-skippable, short ads that play before, during, or after a video.

Display Ads

  • Description: These appear in different spots on YouTube and usually use text or static images.
  • Note: YouTube does not support display image ads directly on its app, but these can be targeted to YouTube.com through Google Display Network (GDN).

Companion Banners

  • Description: Appears to the right of the YouTube player on desktop.
  • Requirement: Must be purchased alongside In-stream ads, Bumper ads, or In-feed ads.

In-feed Ads

  • Description: Resemble videos with images, headlines, and text. They link to a public or unlisted YouTube video.

Outstream Ads

  • Description: Mobile-only video ads that play outside of YouTube, on websites and apps within the Google video partner network.

Masthead Ads

  • Description: Premium, high-visibility banner ads displayed at the top of the YouTube homepage for both desktop and mobile users.

YouTube Ad Specs by Type

Skippable In-stream Video Ads

  • Placement: Before, during, or after a YouTube video.
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Vertical: 9:16
    • Square: 1:1
  • Length:
    • Awareness: 15-20 seconds
    • Consideration: 2-3 minutes
    • Action: 15-20 seconds

Non-skippable In-stream Video Ads

  • Description: Must be watched completely before the main video.
  • Length: 15 seconds (or 20 seconds in certain markets).
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Vertical: 9:16
    • Square: 1:1

Bumper Ads

  • Length: Maximum 6 seconds.
  • File Format: MP4, Quicktime, AVI, ASF, Windows Media, or MPEG.
  • Resolution:
    • Horizontal: 640 x 360px
    • Vertical: 480 x 360px

In-feed Ads

  • Description: Show alongside YouTube content, like search results or the Home feed.
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Square: 1:1
  • Length:
    • Awareness: 15-20 seconds
    • Consideration: 2-3 minutes
  • Headline/Description:
    • Headline: Up to 2 lines, 40 characters per line
    • Description: Up to 2 lines, 35 characters per line

Display Ads

  • Description: Static images or animated media that appear on YouTube next to video suggestions, in search results, or on the homepage.
  • Image Size: 300×60 pixels.
  • File Type: GIF, JPG, PNG.
  • File Size: Max 150KB.
  • Max Animation Length: 30 seconds.

Outstream Ads

  • Description: Mobile-only video ads that appear on websites and apps within the Google video partner network, not on YouTube itself.
  • Logo Specs:
    • Square: 1:1 (200 x 200px).
    • File Type: JPG, GIF, PNG.
    • Max Size: 200KB.

Masthead Ads

  • Description: High-visibility ads at the top of the YouTube homepage.
  • Resolution: 1920 x 1080 or higher.
  • File Type: JPG or PNG (without transparency).

Conclusion

YouTube offers a variety of ad formats to reach audiences effectively in 2024. Whether you want to build brand awareness, drive conversions, or target specific demographics, YouTube provides a dynamic platform for your advertising needs. Always follow Google’s advertising policies and the technical ad specs to ensure your ads perform their best. Ready to start using YouTube ads? Contact us today to get started!

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Why We Are Always ‘Clicking to Buy’, According to Psychologists

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Why We Are Always 'Clicking to Buy', According to Psychologists

Amazon pillows.

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A deeper dive into data, personalization and Copilots

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A deeper dive into data, personalization and Copilots

Salesforce launched a collection of new, generative AI-related products at Connections in Chicago this week. They included new Einstein Copilots for marketers and merchants and Einstein Personalization.

To better understand, not only the potential impact of the new products, but the evolving Salesforce architecture, we sat down with Bobby Jania, CMO, Marketing Cloud.

Dig deeper: Salesforce piles on the Einstein Copilots

Salesforce’s evolving architecture

It’s hard to deny that Salesforce likes coming up with new names for platforms and products (what happened to Customer 360?) and this can sometimes make the observer wonder if something is brand new, or old but with a brand new name. In particular, what exactly is Einstein 1 and how is it related to Salesforce Data Cloud?

“Data Cloud is built on the Einstein 1 platform,” Jania explained. “The Einstein 1 platform is our entire Salesforce platform and that includes products like Sales Cloud, Service Cloud — that it includes the original idea of Salesforce not just being in the cloud, but being multi-tenancy.”

Data Cloud — not an acquisition, of course — was built natively on that platform. It was the first product built on Hyperforce, Salesforce’s new cloud infrastructure architecture. “Since Data Cloud was on what we now call the Einstein 1 platform from Day One, it has always natively connected to, and been able to read anything in Sales Cloud, Service Cloud [and so on]. On top of that, we can now bring in, not only structured but unstructured data.”

That’s a significant progression from the position, several years ago, when Salesforce had stitched together a platform around various acquisitions (ExactTarget, for example) that didn’t necessarily talk to each other.

“At times, what we would do is have a kind of behind-the-scenes flow where data from one product could be moved into another product,” said Jania, “but in many of those cases the data would then be in both, whereas now the data is in Data Cloud. Tableau will run natively off Data Cloud; Commerce Cloud, Service Cloud, Marketing Cloud — they’re all going to the same operational customer profile.” They’re not copying the data from Data Cloud, Jania confirmed.

Another thing to know is tit’s possible for Salesforce customers to import their own datasets into Data Cloud. “We wanted to create a federated data model,” said Jania. “If you’re using Snowflake, for example, we more or less virtually sit on your data lake. The value we add is that we will look at all your data and help you form these operational customer profiles.”

Let’s learn more about Einstein Copilot

“Copilot means that I have an assistant with me in the tool where I need to be working that contextually knows what I am trying to do and helps me at every step of the process,” Jania said.

For marketers, this might begin with a campaign brief developed with Copilot’s assistance, the identification of an audience based on the brief, and then the development of email or other content. “What’s really cool is the idea of Einstein Studio where our customers will create actions [for Copilot] that we hadn’t even thought about.”

Here’s a key insight (back to nomenclature). We reported on Copilot for markets, Copilot for merchants, Copilot for shoppers. It turns out, however, that there is just one Copilot, Einstein Copilot, and these are use cases. “There’s just one Copilot, we just add these for a little clarity; we’re going to talk about marketing use cases, about shoppers’ use cases. These are actions for the marketing use cases we built out of the box; you can build your own.”

It’s surely going to take a little time for marketers to learn to work easily with Copilot. “There’s always time for adoption,” Jania agreed. “What is directly connected with this is, this is my ninth Connections and this one has the most hands-on training that I’ve seen since 2014 — and a lot of that is getting people using Data Cloud, using these tools rather than just being given a demo.”

What’s new about Einstein Personalization

Salesforce Einstein has been around since 2016 and many of the use cases seem to have involved personalization in various forms. What’s new?

“Einstein Personalization is a real-time decision engine and it’s going to choose next-best-action, next-best-offer. What is new is that it’s a service now that runs natively on top of Data Cloud.” A lot of real-time decision engines need their own set of data that might actually be a subset of data. “Einstein Personalization is going to look holistically at a customer and recommend a next-best-action that could be natively surfaced in Service Cloud, Sales Cloud or Marketing Cloud.”

Finally, trust

One feature of the presentations at Connections was the reassurance that, although public LLMs like ChatGPT could be selected for application to customer data, none of that data would be retained by the LLMs. Is this just a matter of written agreements? No, not just that, said Jania.

“In the Einstein Trust Layer, all of the data, when it connects to an LLM, runs through our gateway. If there was a prompt that had personally identifiable information — a credit card number, an email address — at a mimum, all that is stripped out. The LLMs do not store the output; we store the output for auditing back in Salesforce. Any output that comes back through our gateway is logged in our system; it runs through a toxicity model; and only at the end do we put PII data back into the answer. There are real pieces beyond a handshake that this data is safe.”

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